Insight
2 min read
This article guides UK businesses through key practical aspects of using AI under GDPR. It covers handling personal data, understanding lawful basis, managing processors, controlling data access and retention, and the ir
When UK businesses deploy AI solutions, they often process personal data. This includes any information relating to an identifiable individual, such as names, email addresses, or online identifiers. It’s essential to identify what personal data your AI system uses to ensure compliance with GDPR.
For example, an AI-driven customer support chatbot collecting names and inquiry details handles personal data and must be managed accordingly.
Under GDPR, every processing activity needs a lawful basis. Common bases relevant to AI projects include consent, legitimate interests, or performing a contract.
For instance, if your AI system analyses customer data to personalise offers, you might rely on legitimate interests, but you must balance this with individuals' rights and expectations.
Ensure that your chosen basis is documented, reasonable, and transparent to data subjects.
If you use third-party AI providers or platforms, they usually act as data processors. UK businesses remain data controllers and must have clear agreements outlining each party’s responsibilities.
Detail expectations around data protection measures, data breach handling, and audit rights. This helps manage risk and maintain clear governance.
Limit access to personal data within your AI workflows to only those who need it. Implement role-based controls and monitor access logs regularly.
Additionally, ensure the security of data during training and inference phases of AI, including encryption if sensitive data is involved.
AI projects often collect and store large datasets. Adopt policies to minimise the amount of personal data held and define clear retention periods.
For example, retain customer data used in AI models only as long as necessary for the business purpose or legal requirements, then securely delete it.
GDPR emphasises the importance of human oversight when AI decisions impact individuals. Incorporate review processes to allow human intervention or appeal, especially in automated decision-making scenarios.
For example, if your AI screening tool rejects job applications, have a process for applicants to request human review.
To confidently implement AI under GDPR, consider conducting a dedicated AI governance review. This includes assessing your data flows, processing bases, agreements, and controls.
UK AI Consulting can help you with an AI readiness check or workflow audit to align your AI strategy with practical GDPR compliance, reducing friction and risk.
Contact us to start a conversation about your AI governance today.
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